Mage ai

Run, monitor, andorchestratethousands of pipelines.

Build

Have you ever met someone who says they enjoy developing in Airflow? That's why we designed asimple developer experience you'll love.

Easy Developer Experience

Start local development with a single command, or launch a development environment in the cloud using Terraform.

Languages of Choice
Languages of Choice

Write code in Python, SQL, or R within the same data pipeline for maximum flexibility.

Built-in Engineering Best Practices
Built-in Engineering Best Practices

Each step in the pipeline is an independent file containing reusable, testable modular code via data validation. Say goodbye to spaghetti code DAGs.

Preview
Are you wasting time trying to test your DAGs in production? Get instant feedback every time you run code during development.

Interactive Code

View the results of code outputs immediately using the interactive notebook UI.

Data is a First-Class Citizen
Data is a First-Class Citizen

Every code block in the pipeline generates data that can be version controlled, partitioned, and cataloged for future use.

Collaborate in the Cloud
Collaborate on cloud resources, use Git for version control and test pipelines without waiting for available shared staging environments.

Launch

No large team dedicated to Airflow? Mage makes it easy for a single developer to scale and manage thousands of pipelines.
Fast Deployment